DE102007054082A1 - Uneven road detection system used in an in-vehicle diagnostic system - Google Patents

Abstract

An uneven road detection system used in an in-vehicle diagnostic system, wherein the on-vehicle diagnostic system for a vehicle includes a diagnostic component configured to detect a vehicle operating condition and generate an error output when the vehicle operating condition is determined to be abnormal and a rough road detector adapted to determine an average level of unevenness of a road surface based on signals from wheel speed sensors, compare the unevenness with a predetermined threshold and disable the error output of the diagnostic component, or switch to an alternative calibration for the diagnostic component if the level of unevenness exceeds the predetermined threshold has exceeded.

Description

The The invention relates to an uneven road detection system, and more particularly to a Uneven road detection system used in an in-vehicle diagnostic system for reducing false-positive error from a diagnostic component.

Various Engine components of a vehicle perform different control operations. Diagnostic components can used in a control system to provide error outputs to indicate that engine operation is abnormal. However, you can the unevenness or roughness of a road surface false-positive errors Generate (alpha error) in the diagnostic components. For example Can an emissions-based, on-board diagnostic system (OBD II) in a vehicle, a misfire monitoring device have for detecting misfires, which is a general increase in hydrocarbon emissions can cause. The misfire monitor can under extreme road surface conditions prone to false-positive Be a mistake. In another example, the unevenness of the Street in an inaccurate estimate for one Road surface friction coefficient resulting in controlling a four-wheel drive and an automatic braking is used. Therefore, in an uneven road state some engine or vehicle control operations are not accurate carried out become.

Of the Invention is based on the object, an on-board diagnostic system, an uneven road detector and to provide a method by which the correct Function of engine or vehicle control operations also in one Uneven road condition guaranteed can be.

This is provided with an on-board diagnostic system according to claim 1, an uneven road detector according to claim 13 or a method according to claim 20 reached. Further developments of the invention are defined in the respective dependent claims.

According to one Aspect of the invention is provided an in-vehicle diagnostic system for a vehicle, around the states described above to meet. The on-board diagnostic system has a diagnostic component, configured to detect a vehicle operating condition and generating an error output when the vehicle operating condition is determined to be abnormal, and an uneven road detector which is arranged to determine an average level the unevenness of a road surface based from signals from wheel speed sensors to the bumpiness to compare with a predetermined threshold, and to lock or disable the error output of the diagnostic component, if the unevenness level exceeds the predetermined threshold Has.

According to one Another aspect is a road surface condition detector for a Vehicle provided. The road surface condition detector or Uneven road detecting has a filter, such as a high-pass filter or a bandpass filter arranged to receive Non-driven wheel speed inputs from wheel speed sensors and for determining wheel speed variations for generating a Output indicating a current roughness size of a road surface, a rolling average filter adapted for processing the output of the high pass filter, so over a predetermined time interval an average unevenness of the road surface is determined, and a Comparator arranged to compare an output of the rolling average filter with a predetermined, calibratable limit for determining whether the average unevenness of the road surface is the Limit Exceeded has, so a road surface style is determined, the comparator output being used to reduce false error of a diagnostic component of a vehicle.

According to one more Another aspect is a method for reducing false-positives Error of a diagnostic component in a vehicle on a road Vehicle provided. The method comprises: receiving Input signals from wheel speed sensors, determining changes the input signals using a high-pass filter, so that Output signals of the high-pass filter is a current size of a indicated external unevenness of the road surface, Processing the outputs of the high pass filter using a roll mean value filter such that over a predetermined time interval an unevenness level is determined, comparing the output signals the scroll mean value filter with a predetermined threshold, and Disabling or disabling an error output of the diagnostic component when the unevenness level exceeds the predetermined threshold Has.

The use of an uneven road detector (RRD) can reduce false errors from or from a diagnostic component. In the case where the diagnostic component is a misfire monitor, as soon as the misfire monitor receives the RRD flag (or RRD flag) Control system to instruct the misfire monitor to disable the misfire output, switch to an alternative calibration, or can disable the misfire monitor during driving over an uneven road.

The The invention will be described with reference to the attached figures with reference to an embodiment described.

1 FIG. 12 is a block diagram illustrating an exemplary in-vehicle diagnostic system for a vehicle. FIG.

2 FIG. 12 is a block diagram illustrating an exemplary uneven road detector of the on-board diagnostic system of FIG 1 explained.

3 shows the wheel speed changes from a non-driven wheel (miles per hour) of a vehicle with or over time (seconds).

4 shows wheel speed outputs from a non-driven wheel after passing through different components of the uneven road detector of FIG 2 were processed.

5 shows roughness levels from the uneven road detector of 2 were determined.

6 illustrates the setting of a bump flag by the bumpy road detector of FIG 2 based on a roughness level of a road surface.

7 FIG. 12 is a flowchart illustrating a method for reducing false positive error determinations from a diagnostic component in a vehicle traveling on a road. FIG.

1 FIG. 12 is a block diagram illustrating an exemplary in-vehicle diagnostic system. FIG 10 explained for a vehicle. The system 10 can be a diagnostic component 12 configured to detect a vehicle operating condition and generate an error output when it has been determined that the vehicle operating condition is abnormal. In the embodiment shown, the diagnostic component 12 a misfire monitor used in an On-Board Diagnostic System II (OBD II). The misfire monitor may indicate a misfire by illuminating a malfunction indicator lamp (MIL) and the output of the misfire monitor may be used in various engine controls. The misfire monitor may be susceptible to false-positive faults under the conditions of a rough road, such as large cobblestone lanes, which may cause powertrain perturbations that are incorrectly interpreted by the misfire monitor as misfires (error art or alpha error). Noise-lock function present in the misfire monitor may not be effective in reducing these errors. Incorrect misfire determinations may cause the engine to be controlled in a less than optimal manner since corrective measures against misfire can be taken if they are unnecessary. To reduce the undesirable effect of erroneously detected errors, an uneven-road detector can 14 be provided for determining an unevenness level of the road and taking into account the possibility of untrue errors by disabling or ignoring the output of the misfire monitor.

It is understood that the diagnostic component 12 may have other engine control or vehicle control monitors where the accuracy of the diagnoses may be dependent on the unevenness of the road. Examples of other alternative diagnostic components 12 include a stability control monitor, a drive control monitor, etc.

Further on 1 Referring to Figure 1 is an uneven road detector 14 of the system 10 adapted to process wheel speed signals and other inputs, output an average unevenness level and set a bump flag for the diagnostic component 12 , Hereinafter, referring to 2 the operation of the Uneven Road Detector 14 described in detail.

In some embodiments, the input signals to the uneven-road detector 14 through an input processor 16 are processed. For example, the input processor 16 a Controlled Fieldbus Network (CAN - Controller Area Network) message input processor 16 configured to receive wheel speed signals from an antilock brake system (ABS) control unit 18 via a CAN bus. Wheel speeds can be detected by wheel speed sensors installed on the front wheels and on the rear wheels of the vehicle. The one from the input processor 16 Signals processed for CAN messages may include wheel speeds of the four wheels (respectively denoted by the variables mux_lf_whlspd, mux_rf_whlspd, mux_lr_whlspd and mux_rr_whlspd). In addition, the processed signals may include a wheel speed state (mux_lf_whlspd_stat). The state indicators mux_lf_whlspd_stat, mux_rf_whlspd_stat, mux_lr_whlspd_stat, and mux_rr_whlspd_stat indicate whether a given wheel speed is valid. Further, the processed signals may include an ABS error flag (msgid_215_fmflg) for indicating whether the ABS control unit 18 is disturbed. As the wheel speeds of the ABS control unit 18 dependent, the uneven road detector can 14 be arranged to turn off the rough road calculation in case of degraded ABS performance.

In some embodiments, operator-actuated brake hardware 20 a brake actuation input processor 22 provide a brake input. The from the brake actuation input processor 22 processed signals may include a brake on / off indicator (biflg) indicating whether the operator is currently operating the brakes. In some situations, the application of the brakes may reduce the accuracy of the rough road level. Thus, the uneven-road calculation by the uneven-road detector 14 be suspended or interrupted when an operation of the brakes is detected. Additionally or alternatively, a brake pedal error flag (ffg_boo) may be used as an input to the uneven road detector 14 be used. Since an indication of the brake pedal condition may be necessary, the uneven-road detector may 14 be turned off in case of deterioration in the brake operation.

Issues of the Uneven Road Detector 14 may have roughness indicators for indicating an average unevenness level. In some embodiments, the bump indicator may include an indicator (rrd_err_flg) determined from non-driven wheel speeds. Alternatively, the bump indicator may include an indicator (rrd_err_drv_flg) determined from driven wheel speeds. The error flags indicate that a level of bumps due to an error in the necessary inputs to the RRD can not be calculated, and therefore the output of the RRD from the diagnostic component should be ignored. In one example, errors may be based on erroneous inputs, such as inadmissible wheel speeds, etc. In some embodiments, the bump indicator may include an indicator (rrd_ndrv_lvl) determined from non-driven wheel speeds. Alternatively, the bump indicator may include an indicator (rrd_drv_lvl) determined from driven wheel speeds. Furthermore, the uneven road detector 14 based on an unevenness indicator or unevenness level and a predetermined threshold uneven road flag for the diagnostic component 12 put. An uneven road flag (rrd_ndr_flg) determined from the non-driven wheel speeds and / or an uneven road flag (rrd_drv_flg) determined from the driven wheel speeds may be used. Once from the diagnostic component 12 an uneven road flag is received, the control system may 10 the error output of the diagnostic component 12 disable or disable the control system 10 switch to an alternative calibration. It should be noted that the input signals to the uneven road detector 14 either non-driven wheel speeds or driven-wheel speeds or both non-driven wheel speeds and driven-wheel speeds may have an unevenness level determination.

2 FIG. 12 is a block diagram showing a general system structure of an exemplary rough road detector. FIG 14 explained. The Uneven Road Detector 14 can be used to reduce false errors of a diagnostic component of a vehicle, where the false errors are likely to occur while driving on a rough road. The term "uneven road" refers to roads that have protrusions or depressions in the road surface, such as paving stones, potholes, bumps, etc.

The Uneven Road Detector 14 is normally operated so that it calculates in successive time intervals whether a road is uneven or not. Every run or operation of the uneven road detector 14 may depend on the time interval in which the wheel speeds are received via the CAN bus. For example, if the wheel speeds are updated every 10 milliseconds (ms), the uneven road detector may be 14 be operated every 8 ms. As another example, if the wheel speeds are updated at a relatively slow rate, such as every 20 or 30 ms, the uneven road detector may be 14 be operated every 16 ms. Alternatively, the wheel speeds can be stored and processed at a lower rate.

3 shows changes in non-propelled wheel speeds (miles per hour) of a vehicle with or over time (seconds). Projections or depressions on the road surface, such as large Bodenwel Potholes and potholes can appear as short-term disturbances in the wheel speeds. The disturbances are reproduced as fast wheel speed changes. As in 3 Thus, before the time t1, the vehicle is running on a flat road. After time t1, the vehicle is traveling on an uneven road.

The like in 3 shown original wheel speeds can be pre-processed by a first filter. Now up 2 Referring to the first filter, the first filter may be used to remove slowly changing components of the wheel speed signals that do not reflect the wheel speed disturbance due to protrusions or pits causing roughness in a road surface. In the embodiment shown, the first filter may be a high pass filter 52 exhibit. The high pass filter 52 allows only the passage of the high band component of the wavelength. The high pass filter 52 can remove slowly changing components or semi-stable state components of the wheel speed signals. Thus, the outputs of the high pass filter 52 the underlying magnitude of external disturbances acting on the wheels or the unevenness of the road surface. In some embodiments, the high pass filter 52 have a second order Butterworth high pass filter. The filter coefficients can be calibrated so that the cutoff frequency or corner frequency can be adapted for various vehicle platforms. In one embodiment, a cutoff frequency of 2 Hz is used as the cutoff frequency of the high pass filter. It is to be understood that any suitable filter may be used as the first filter. For example, the first filter may include a bandpass filter.

A first calculation component 54 can be used to calculate the square of high pass filter outputs 52 , The calculated data may be processed by a second filter to obtain a usable quantity for indicating a bump level. In the illustrated embodiment, the second filter is a rolling average filter. 56 ,

In some embodiments, the roll average value filter 56 equivalent to a low pass filter with 0.2 Hz cutoff frequency. In one example, the roll average value filter 56 be used for the square of the high-pass filtered wheel speed with a threshold of 2 seconds. The cutoff frequency of the Rollmittelwertfilters 56 may conversely correspond to the time interval or the response time of the filter and is calibratable. The roll average value filter 56 may be arranged to provide sufficient smoothing so that consistent output can be achieved for a specific road. However, the roll average value filter 56 also be sufficiently sensitive or responsive that it allows for quick adjustments when the road surface changes. It should also be noted that the response time of the rolling average value filter 56 should be set long enough so that the RRD flag does not switch too often between uneven and even. Therefore, in some embodiments, hysteresis may be added to the final output, thereby avoiding unwanted switching.

The of the Rollmittelwertfilter 56 filtered data can be further processed. For example, a second calculation component 58 the square root of the through the Rollmittelwertfilter 56 pull filtered wheel speeds. Then a third calculation component 60 average the results for the left wheel and the right wheel if the inputs from both wheels are valid. Alternatively, wheel speed signals from either the left wheel or the right wheel may be used to determine a bump level of a road.

4 shows wheel speed outputs from non-driven wheels after processing by different components of a rough road detector. The solid line shows outputs from the high pass filter 52 , Compared with the raw wheel speeds in 3 are shown, the signals shown by the solid line indicate that the slowly varying components of the wheel speeds are from the high pass filter 52 were removed. The dashed line shows the outputs from the component 58 where the square roots from the results of the rolling average filter 56 to be pulled. The broken line shows that the rough road detector converts wheel speed signals into usable positive quantities to indicate an average unevenness level. At the in 4 As shown, the uneven-road detector determines two unevenness levels, and the unevenness level of the road surface after t1 is larger than the unevenness level of the road surface before t1.

5 Figure 12 shows exemplary unevenness levels determined by an uneven road detector. The curve A shows an unevenness level determined based on wheel speeds from a right non-driven wheel. Curve C shows an unevenness level determined based on wheel speeds from a left, undriven wheel. The curve B shows an average unevenness level based on the determination of the left non-driven wheel speed and the right nonange powered wheel speed based. The average unevenness level can be obtained by averaging the unevenness levels determined based on wheel speeds from the right and left wheels. Alternatively, if the wheel speeds from one wheel are invalid, the bump level determined by the wheel speeds of another wheel may be used.

Back on 2 Referring to the uneven road detector 14 a comparator 62 exhibit. After through a third calculation component 60 an unevenness level has been determined, the unevenness level becomes a threshold value in the comparator 62 compared. The limit value can be calibrated for known surfaces for which false diagnostic errors of a diagnostic component can occur. As discussed above, in one example, the diagnostic component may be a misfire monitor configured to detect misfires. Therefore, the limit may be calibrated for roads such as cobblestones or roads with potholes and bumps where the misfire monitor is prone to producing untrue errors. Further, the threshold may be adjusted so that the uneven road detector 14 is not sensitive to normal road surface. In some embodiments, the unevenness of a road surface may have a scale of 0.0 to 1.0, where 1.0 represents the roughest road and 0.0 represents the most level road. Alternatively, other suitable scaling could be used, such as scales extending beyond 1.0.

After the unevenness level has been compared with the limit value, the unevenness for the road conditions can be indicated. 6 shows bump flags set by an uneven road detector based on a road surface bump level. Line E shows the level of bumps. Lines D and F show rough road detector flags (RRD flag). In the example, a limit is set at 0.5. Before the time t1, the unevenness level is lower than the threshold. The output of the comparator 62 is zero or the RRD flag is set to be zero. Thus, the road can be declared as a "level road." After t1, the level of bumps is greater than the limit, the output of the comparator 62 is 1.0 and the RRD flag is set. As a result, the road may be declared as an "uneven road." Then, the RRD flag may be sent to a diagnostic component While the embodiment shown shows a threshold that separates two unevenness levels, ie even and uneven, it is understood that a plurality For example, two thresholds may separate three unevenness levels, the first unevenness level may correspond to a flat road, and the second unevenness level may correspond to a Belgian Block Road, and the third unevenness level may be a stone road. Other road types, such as a Harshness Road, a random bump road, and a cobblestone road, may have separate bump levels determined by the uneven road detector.

The Using an uneven road detector can reduce false or untrue errors of a diagnostic component. In the case where the diagnostic component is a misfire monitor is, as soon as the misfire monitoring device receives the RRD flag, a control system the misfire monitor instruct, on the "uneven road" the misfire issue to disable or lock or in an alternative calibration of Misfire monitoring device switch. When the uneven road detector is set up for determining unevenness of a road from three or more unevenness levels The output of the detector can be used to completely lock the error output of the diagnosis component in the case of the most uneven level and partially disable the error output of the diagnostic component in the case of medium unevenness level or otherwise processing the error output of the diagnostic component at the mean unevenness level, so that false or untrue errors are prevented or eliminated.

7 shows a flowchart illustrating a method 700 FIG. 4 illustrates how to reduce false-positive error determinations of a diagnostic component in a vehicle traveling on a road using a rough road detector. First, the routine is received 710 Input signals from the wheel speed sensors. As described above, the input signals may include speeds of left and right non-driven or driven wheels. Next, the routine receives at 720 Brake inputs from the operator-operated brake hardware. Information regarding the brake condition may determine whether the uneven-road detector is as described above with reference to FIG 1 is operated described. Then the routine handles 730 Wheel speed signals using a high pass filter. The high pass filter filters out slowly changing components of wheel speeds and then outputs an ak actual size of the unevenness of a road surface, as described above. In some embodiments, high pass filter outputs diminish 730 squared. Next will be at 740 the high pass filter outputs from a roll average filter processes to determine a bump level over a predetermined response time interval. In some embodiments, output signals may be processed by subtracting the square root of the output signals of the rolling mean value filter. Next compares to 750 the routine output signals of the rolling mean value filter with a predetermined threshold. Then add 760 the routine displays a bump flag when the bump level exceeds the threshold. When the bump flag is detected, it locks on or off 770 the routine is an error output of a diagnostic component.

As an alternative to the steps 750 and 760 the method may further comprise comparing the outputs of the rolling mean value filter with a plurality of predetermined thresholds to determine an appropriate unevenness level from a plurality of unevenness levels, and setting a corresponding flag indicative of the appropriate unevenness level.

It It should be understood that the processes disclosed herein are more exemplary Nature and that these specific embodiments are not in one restrictive Meaning, since many variations are possible. The subject matter of the present disclosure includes all new and unobvious combinations and subcombinations the various structures and other features, functions and / or Properties disclosed herein include.

The following claims explain in particular certain combinations and sub-combinations, the as new and not obvious. These claims can become to "an" element and "a first" element or its equivalent Respectively. Such claims should be understood to mean the integration of one or more of such elements, being two or more neither require nor exclude such elements. Other combinations and Subcombinations of process and system component configurations, Processes, devices and / or other features, functions, Elements and / or properties can be changed by modifying the present claims or by presenting new claims in this or an associated one Application claimed. Such claims, whether they are wider, narrower, equal or different in scope compared to the original ones claims are also as in the subject of the present disclosure included.

Claims (23)

On-board diagnostic system for a vehicle, comprising: a diagnostic component configured to be captured a vehicle operating condition and generating an error output, when the vehicle operating condition is determined to be abnormal, and one Uneven road detecting, configured to determine an average level of Rub of a road surface Basis of signals from wheel speed sensors, for comparison the unevenness with a predetermined limit and for locking the error output of the diagnostic component or switching to a alternative calibration for the diagnostic component when the bump level exceeds the predetermined threshold Has. In-vehicle diagnostic system according to claim 1, wherein the uneven road detector having: a first filter configured to receive of wheel speed input signals and for determining Radgeschwindigkeitsveränderungen, so that outputs of the first filter correspond to road unevenness levels, and a second filter adapted for processing the output of the first filter so that the road unevenness levels above a predetermined time interval are averaged, so that a roadside average level is produced. In-vehicle diagnostic system according to claim 2, wherein the first filter is a second-order Butterworth high-pass filter or a bandpass filter. In-vehicle diagnostic system according to claim 3, wherein the second filter is a roll average value filter. In-vehicle diagnostic system according to claim 2, the uneven road detector further comprising a first calculation component that sets up is for squaring an output of the first filter. In-vehicle diagnostic system according to a the claims 1 to 5, wherein the uneven road detector further comprising a second computational component that sets up is to draw a square root from an output of the second Filter. In-vehicle diagnostic system according to claim 4, wherein the predetermined time interval is about two seconds. In-vehicle diagnostic system according to claim 1, wherein the uneven road detector is arranged to realize a hysteresis on the output of the roll mean value filter, so that an undesired locking of the error output the diagnostic component is prevented. In-vehicle diagnostic system according to claim 1, wherein the uneven road detector is set up to suspend the locking of the error output Diagnostic component through the uneven road detector during a Braking event. In-vehicle diagnostic system according to claim 1, wherein the uneven road detector is set up is to suspend the locking of the error output of the diagnostic component through the uneven road detector, when an antilock system disturbed is. In-vehicle diagnostic system according to claim 1, wherein the diagnostic component is a misfire monitor is set up to detect a misfire in a cylinder of an engine of the vehicle. In-vehicle diagnostic system according to claim 1, wherein the diagnostic component is a stability control monitoring device, the is set up to detect whether a stability control system of the vehicle works normally. Uneven road detecting for a Vehicle comprising: a high pass filter set up is for receiving a non-driven wheel speed input of wheel speed sensors and for determining wheel speed changes for generating an output indicative of a current amount of roughness of a road surface, one Roll average value filter that is set up to process the output of the high pass filter, so over a predetermined time interval an average unevenness of the Road surface is determined, and a comparator set up to compare an output of the roll mean value filter with a first, predetermined, Calibratable limit to determine if the average unevenness the road surface the first limit exceeded has, for determining a road surface type, in which the uneven road detector is set up to issue a flag for disabling an error output a diagnostic component of the vehicle or switching to a alternative calibration for the diagnostic component to false errors of the diagnostic component to reduce. Road surface state detector according to claim 13, wherein determining the wheel speed changes through the high-pass filter removing slowly changing Components of the wheel speed signals. Road surface state detector according to claim 13, wherein the wheel speeds wheel speeds of at least a non-driven wheel. Road surface state detector according to claim 15, wherein the wheel speeds are also wheel speeds of have at least one of the driven wheels. Road surface state detector according to claim 13, wherein the predetermined time interval is about two seconds. Road surface state detector according to claim 13, wherein the diagnostic component is a misfire monitor is. Road surface state detector according to claim 13, wherein the comparator is further configured to compare an output of the roll mean value filter with a second, predetermined, calibratable Limit value for determining whether the average unevenness of the road surface is the second Limit Exceeded has, to determine a road surface style. Method for reducing false-positive error determinations a diagnostic component in a road vehicle, comprising: Receive of input signals from wheel speed sensors, Determine of changes the input signals using a high-pass filter, so that output signals the high-pass filter is a current size of an external bump mark the road surface, To process the output signals of the high-pass filter using a roll mean value filter, so that over a predetermined time interval an unevenness level is determined to compare the output signals of the rolling mean value filter with a predetermined Limit, and Blocking an error output of the diagnostic component, when the bump level exceeds the predetermined threshold Has. The method of claim 20, the method further comprising: instructing a misfire monitor of an on-board diagnostic system to disable the misfire output or to switch to an alternate calibration for the diagnostic component when the unevenness has exceeded the predetermined limit. Method according to claim 20, wherein determining the changes the input signals using a high pass filter removing Semi-stable state components having the wheel speed signals. Method according to claim 20, wherein the predetermined time interval of the scroll mean value filter used is about two seconds.